Innovation occurs when motivated teams believe in a shared mission. Congratulations to the Felicis companies listed on Fast Company's Most Innovative Companies list for 2025! ?? Armada, Canva, Cleo, Gusto, January AI, Midi Health, Notion, Origin, Recursion, and Runway.
Felicis
风险投资与私募股权管理人
Menlo Park，California 22,002 位关注者
We back founders building iconic companies and invest directly in their growth to make them unbreakable.
关于我们
We back founders building iconic companies that transcend boundaries: we partner around the world, across sectors, and at various stages, primarily before success is obvious. We also invest directly in founders' growth by committing 1% on top of every first check we write towards personalized executive coaching, therapy and more. Felicis has backed more than 40 companies valued at $1B+ and more than 90 companies that have been acquired or gone public, including Shopify (IPO), Adyen (IPO), Credit Karma (acq by Intuit), Cruise (acq by GM), Ginkgo Bioworks (IPO), Guardant Health (IPO), Meraki (acq by Cisco) and Ring (acq by Amazon).
- 网站
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https://www.felicis.com
Felicis的外部链接
- 所属行业
- 风险投资与私募股权管理人
- 规模
- 11-50 人
- 总部
- Menlo Park，California
- 类型
- 合营企业
- 创立
- 2006
- 领域
- Venture Capital和Business Advisory
地点
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主要
获取路线
2460 Sand Hill Rd
Suite 100
US，California，Menlo Park，94025
Felicis员工
动态
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Felicis转发了
Mercor scaled from $1M - $100M in annual revenue run rate in 11 months, making?us the fastest growing company in the world. We averaged 41% monthly growth in 2024, then grew 55% in January, and 87% in February. We also profited $1M+ last month, but the largest barrier to growth is finding exceptional people to join our team. Apply today if you're interested in joining us. We'll reach out inviting you to an interview.
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Everyone should be able to train and deploy an AI model, not just tech giants. DatologyAI is tackling one of AI's most critical challenges: data. Their approach of automatic high-quality data curation can reduce model training costs by over 90% while significantly improving performance. As Datology CEO and co-founder Ari Morcos explains, optimizing data quality fundamentally changes the cost-benefit equation for enterprises considering custom AI development. By extracting more value from each data point, companies can train smaller, more efficient models that are dramatically cheaper to deploy. Watch the full conversation between Ari and Felicis GPs Viviana Faga and Astasia Myers at the link in the comments.
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Felicis转发了
AI is creating massive opportunities for founders who understand what CIOs, CTOs, and CISOs need. Last week, Felicis hosted our first Fusion event, bringing together top enterprise technology leaders to cut through the AI hype, debate build vs. buy, and explore where AI can drive real impact. What we learned from these decision-makers: ? 93% expect their AI budget to grow in 2026 ? 53% say software development will be the most impacted function ? 50% believe AI will be the most impactful technology in 2035 I’ll share more from our survey and the learnings from this event very soon. But the overall takeaway is that while enterprise leaders are actively looking for valuable AI solutions, they have real concerns about security, integration, maintenance, and ROI. At Fusion, in addition to talking through the future of enterprise buying initiatives, we had fun with trap shooting and wine tasting (though not at the same time!) I want to express a huge thanks to Paul Vixie, Christian Kleinerman, Talha Tariq, Ben Kus, Nancy Wang, Cassio Goldschmidt, Eric Tan, Vasu Murthy, Daniel Bartus, and Karl Mosgofian for their candor and expertise and being active participants in the conversations. Special thanks to sponsors ConductorOne, Tines, SVB, Amazon Web Services (AWS), and Stripe for their partnership.
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Felicis转发了
Before we get to a future filled with helpful robots, they need to navigate the world like humans do. Right now, 99% of autonomous systems are limited in their ability to move through unstructured environments. Tera AI is solving this with a software-only approach to spatial reasoning, enabling robots to navigate the world using just their cameras—no prior setup, extra sensors, or external signals needed. With this breakthrough, robots can recognize places they’ve never seen and move through new environments as effortlessly as we do. I’m excited to share that Felicis has invested in Tera AI. Tony Zhang, who led ML at Google X is one of the world’s experts in developing geospatial models and spatial reasoning. He has built an incredible team from Google AI, Caltech, MIT, and the European Space Agency that is blending fundamental research breakthroughs with a product-driven mindset. They’re hiring! If you’re an engineer or researcher excited about the future of AI-powered autonomy, check them out: tera-ai.com And read about the company and their news today in TechCrunch: https://lnkd.in/gv6zArpW James Detweiler
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Huge launch from the Predibase team today! Try their reinforcement fine-tuning platform now!
Starting today, you can build your own custom AI models without collecting labeled data – with the first end-to-end reinforcement fine-tuning platform. DeepSeek-R1 showed the world how RL can solve challenging reasoning tasks, and now we’ve baked these capabilities into an intuitive platform so anyone can leverage self-improving models for their use cases. RFT guides a model with reward functions and unlabeled data in a new interactive experience that’s a game-changer for tasks like code generation, complex RAG and more. Our early results with the platform have blown us away. We used it ourselves to build a 32B-param model to write CuDA code 3x more accurately and faster than OpenAI’s o1 or DeepSeek-R1, that we’re open sourcing today. And we’ve already seeing great traction with early customers. I’m very excited to launch the first version of this experience and give you an early look at what we’re building. Check out how it works in the thread below and let’s shape the future of custom AI together.
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Congratulations to Alex W., Struhl, Ben Harpe and the team at Distributed Spectrum on raising your Series A! We've been amazed at the growth since we invested almost three years ago. This team is focused, mission-driven, and are revolutionizing the world of electronic warfare.
We’re excited to announce Distributed Spectrum’s $25M Series A—an oversubscribed round led by Conviction, Shield Capital, and Nat Friedman with participation from existing investors, Felicis and XFund, along with angels including leaders in technology, defense, and AI (General Stan McChrystal, Eric Glyman, Chris Re, Arash Ferdowsi, Matt MacInnis, Zak Stone, and executives from Palantir). A few months ago, we were a team of just seven engineers. With founder-led sales, we were able to close over $7M in contracts in a span of just 60 days across the US Department of Defense. Since then we’ve more than doubled our team, made our first hires in product and operations, moved to a new office in NYC—and we're just getting started. Our focus is on building software and sensors to let anyone identify critical radio signals across defense missions. This domain, electronic warfare, has rapidly become one of the most important in modern combat operations due to the evolution of the modern battlefield. The war in Ukraine is the first conflict truly centered around 21st century technology. The modern battlefield is now choked with signals; drones, cell phones, handheld radios, satellite uplinks, GPS, and so much more, all relying on radio. Soldiers on the front lines are forced to use consumer lab equipment to look at raw waveforms to map nearby drones and jammers. The ability to locate and jam your adversary has made radio as important to military outcomes as terrain or weather. We must build automated tools to help us understand radio signals—making the trained experts we do have 1000x more efficient, and making it possible to bring this intelligence to places where experts can’t go. The first products we’ve deployed do exactly this: pair our own foundational machine learning models with inexpensive hardware to bring radio intelligence to any platform. Our capabilities are already helping those on the front lines of Ukraine identify threats in real time. We’re extremely proud of the trust and demonstrated value we’ve been able to achieve with our first customers. Now that we have a validated capability and strong end-user advocates, we’re excited for Distributed Spectrum’s next chapter as we grow our team to deliver our products at scale. Read more from Forbes here: https://lnkd.in/ehHMkavP
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Felicis转发了
Serve 1000s of Fine-Tuned LLMs on a Single GPU! (100% open-source, Apache 2.0 ??) LoRAX by Predibase enables users to serve thousands of fine-tuned models on one GPU, cutting costs without sacrificing speed or performance. Here's what make it a game-changer: ?? OpenAI-compatible API ?? Merge multiple adapters on the fly ???♀? Handle requests for different adapters simultaneously ? Dynamically load adapters from HF, Predibase, or local files ?? Enhance performance with quantization & custom CUDA kernels ?? Production-ready with Docker, Helm charts, & OpenTelemetry Here's the best part, it's 100% open-source (Apache 2.0 license ??). I've shared the link to their GitHub repo in the comments! _____ Find me → Akshay Pachaar ?? For more insights & tutorials on AI and Machine Learning.
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Felicis转发了
Chase Sapphire card now gives $600 back for a Prenuvo scan. Interesting to see premium credit cards now add preventative health to their benefits. Wellness is the new wealth! cc Andrew Lacy
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Felicis转发了
As part of Felicis Infra Innovators, we hosted engineering leaders from Docusign, Block, Applied Intuition, Clari, Etsy, Stripe, Docker, MotherDuck, Revyl & more for a great night in SF! Key themes: AI coding agents, Observability & GenAI infra DM me to join the next one! Tobi Coker
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